Evolve – a Bridge Between Probability, Set Oriented Numerics and Evolutionary Computation VII (7) - Rilegato

Rilegato

ISBN 10: 3319493248 ISBN 13: 9783319493244

Casa editrice: Springer-Nature New York Inc, 2017

Riassunto

This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3319493248
• ISBN 13: 9783319493244
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 220
• Redattore: Emmerich Michael, Deutz Andr, Schtze Oliver, Legrand Pierrick, Tantar Emilia
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania